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AnnZ [28]
3 years ago
10

Which ordered pairs are solutions to the inequality 2y−x≤−6 ?

Mathematics
2 answers:
balu736 [363]3 years ago
8 0

Answer:

The answers to this question is:

(2,-2), (0,-3), and (1,-4). I just took the test.

jeka943 years ago
3 0
(0,-3) or the option 2 hope this helps
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What number shoild come next 100,96,88,72​
Sunny_sXe [5.5K]

Answer - 40

----------

100 - 4

96 - 8

88 - 16

72 - 32

5 0
4 years ago
Concerns about climate change and CO2 reduction have initiated the commercial production of blends of biodiesel (e.g., from rene
Veronika [31]

Answer:

99% of the sample means will fall between 0.93288 and 0.94112.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

The true mean is .9370 with a standard deviation of 0.0090

This means that \mu = 0.9370, \sigma = 0.0090

Sample of 32:

This means that n = 32, s = \frac{0.009}{32} = 0.0016

Within what interval will 99 percent of the sample means fall?

Between the 50 - (99/2) = 0.5th percentile and the 50 + (99/2) = 99.5th percentile.

0.5th percentile:

X when Z has a pvalue of 0.005. So X when Z = -2.575.

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

-2.575 = \frac{X - 0.9370}{0.0016}

X - 0.9370 = -2.575*0.0016

X = 0.93288

99.5th percentile:

X when Z has a pvalue of 0.995. So X when Z = 2.575.

Z = \frac{X - \mu}{s}

2.575 = \frac{X - 0.9370}{0.0016}

X - 0.9370 = 2.575*0.0016

X = 0.94112

99% of the sample means will fall between 0.93288 and 0.94112.

6 0
3 years ago
Brianna has a sheet of paper that is 6 feet long.she cuts the length of paper into sixth and then cuts the length of each of the
maxonik [38]
72 inches. 
<span>72/6=12inch sixths </span>

<span>each sixth is cut into a third </span>

<span>12/3=4 inches </span>

<span>each of these eighteenths (6*3=18) have a length of four inches. </span>

<span>Check. 18*4 should equal 72. You have 18 pieces, each four inches long.

Got it all?</span>
8 0
3 years ago
Help pls - 20pts<br><br> 2020202022020
Gala2k [10]
Your answer would be:
f(8)= 68,594
f(11)= 91,299
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4 0
3 years ago
Read 2 more answers
The following points were added to the grid below.
il63 [147K]

Answer:

C,A,B,D

Step-by-step explanation:

5 0
3 years ago
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